Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks-Reference-Cited by-同舟云学术

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Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

Published:2017-06-26 Issue:7 Volume:17 Page:1501
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Yu Haiyang,Wu Zhihai,Wang Shuqin,Wang Yunpeng,Ma Xiaolei

Funder

National Natural Science Foundation of China

Beijing Nova Program

Beijing Natural Science Foundation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/17/7/1501/pdf

Reference53 articles.

1. Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

2. Understanding commuting patterns using transit smart card data

3. On feature selection for traffic congestion prediction

4. Mapping to Cells: A Simple Method to Extract Traffic Dynamics from Probe Vehicle Data

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